Signal processing¶
Basic processing procedures for time series (e.g., performing a zscore of a signal, or filtering a signal).

Apply a zscore operation to one or several neo.AnalogSignal objects. 

Computes an estimator of the crosscorrelation function (Stoica et al., 2005). 

Butterworth filtering function for neo.AnalogSignal. 

Compute the wavelet transform of a given signal with Morlet mother wavelet. 

Apply a Hilbert transform to a neo.AnalogSignal object in order to obtain its (complex) analytic signal. 

Calculate the rectified area under the curve (RAUC) for a neo.AnalogSignal. 

Calculate the derivative of a neo.AnalogSignal. 
References¶
Petre Stoica, Randolph L Moses, and others. Spectral analysis of signals. Prentice Hall, 2005.
Michel Le Van Quyen, Jack Foucher, JeanPhilippe Lachaux, Eugenio Rodriguez, Antoine Lutz, Jacques Martinerie, and Francisco J Varela. Comparison of hilbert transform and wavelet methods for the analysis of neuronal synchrony. Journal of neuroscience methods, 111(2):83–98, 2001.
Marie Farge. Wavelet transforms and their applications to turbulence. Annual review of fluid mechanics, 24(1):395–458, 1992.